Come here for expert insight on the latest in data center design and everything that goes inside -- from power and cooling to servers, storage, networks, hyperconverged infrastructure, edge computing, and data centers for machine learning.
Diverse workloads. Varying usage needs. Unpredictable demands. Are multiple servers — or a standard CPU that can’t prioritize frequency needs — really the way to handle it all? Not unless you’re also looking to increase complexity and TCO. And...
As you develop an edge strategy, it is critical to understand the role of the data center in the edge ecosystem. Managing services at the edge, while connecting them back to a centralized compute or cloud environment delivers low-latency...
With the immense amounts of data growth and extended reach of IoT devices, the need to host applications at or near the edge has never been more important. It's time to reevaluate how to manage your infrastructure to accommodate users’ demand for...
